Relapse and survival after transplantation for complex karyotype acute myeloid leukemia: A report from the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation and the University of Texas MD Anderson Cancer Center
Bibliographic record
Abstract
BACKGROUND: Despite recent advances in allogeneic hematopoietic stem cell transplantation (AHSCT), the outcome of patients who have acute myeloid leukemia (AML) with a complex karyotype (CK) remains poor. The objective of this study was to identify prognostic factors associated with post-transplantation survival in a large cohort of patients with CK AML. METHODS: In total, data on 1342 consecutively patients who underwent transplantation for CK (≥3 chromosomal abnormalities) AML were provided by the Acute Leukemia Working Party of the European Society for Blood and Marrow Transplantation and from the University of Texas MD Anderson Cancer Center database were included in the analysis. The median patient age was 52 years. The donors were human leukocyte antigen-matched related donors (N = 749), matched unrelated donors (N = 513), and mismatched unrelated donors (N = 80). RESULTS: Relapse was the main cause of treatment failure. Overall, 51% of patients relapsed, 17.6% died of treatment-related mortality, and 31.3% survived leukemia-free. In multivariate analysis, the factors associated with an increased risk of relapse were age (>40 years; hazard ratio [HR], 1.1 per 10 years; P = .02), secondary AML (HR, 1.35; P = .01), active disease at transplantation (HR, 1.98; P < .001), and deletion/monosomy 5 (HR, 1.5; P < .001); whereas age (HR, 1.15 per 10 years; P < .001), secondary AML (HR, 1.36; P = .001), active disease at transplantation (HR, 1.99; P < .001), deletion/monosomy 5 (HR, 1.24; P = .008), and deletion/monosomy 7 (HR, 1.44; P < .001) predicted for leukemia-free survival. CONCLUSIONS: Disease relapse remains the most common cause of treatment failure for patients with CK AML after transplantation. Novel approaches to decrease the relapse rate and improve survival are needed in these patients. Cancer 2018;124:2134-41. © 2018 American Cancer Society.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".